Climate Change Risk and Green Low-Carbon Development in Agriculture: Evidence from China on the Regulatory Role of Agricultural Insurance and Spatial Spillover Effects

Climate Change Risk and Green Low-Carbon Development in Agriculture: Evidence from China on the Regulatory Role of Agricultural Insurance and Spatial Spillover Effects

<p dir="ltr">This study uses panel data from 31 provinces in China for the period 2003–2023. The specific data sources and processing methods are as follows:</p><ol><li><b>Climate Risk Data</b><br>The climate risk index is calculated using the data...

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Bibliografski detalji
Glavni autor:	ZHAOYANG LU (21957038) (author)
Daljnji autori:	NAN LI (22678883) (author), HAILONG FENG (22678886) (author), JIANGLAI DONG (22678906) (author), DIAO GOU (22678910) (author), MING XU (22678888) (author)
Izdano:	2025
Teme:	Sustainable agricultural development climate change risks green and low-carbon development of agriculture agricultural insurance spatial spillover effect spatial durbin model
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

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Agricultural vulnerability to pollinator declines in each municipality across Brazil, considering the 2019 harvest.
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Total agricultural production value of leading crops in the 2019 harvest across all Brazilian municipalities.
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Results of the generalized linear mixed model (GLMM) using a Tweedie distribution (log link). The response variable is the vulnerability to pollinator decline. Estimates (β), standard errors, z-values, and p-values and 95% confidence intervals (CI, low – high) are shown. Significance levels were assessed at P < 0.05.
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Results of the generalized linear mixed model (GLMM) using a Tweedie distribution (log link). The response variable is the economic value of pollination. Estimates (β), standard errors, z-values, and 95% confidence intervals (CI, low – high) p-values are shown. Significance levels were assessed at a P < 0.05 threshold.
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Correlation between the municipal economic value of pollination excluding soybean and Human Development Index (HDI), Gross Domestic Product (GDP), Human footprint, Habitat loss, and Proportion of low-income farmers.
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The economic value of pollination in each municipality across Brazil, considering the 2019 harvest.
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